IBM PowerAI logo

IBM PowerAI

0(0 reviews)
Software Status:Active

About IBM PowerAI

IBM PowerAI is a machine learning software platform from IBM that provides advanced analytics capabilities. It combines deep learning frameworks, pre-installed packages, and GPU improvement to help organizations use artificial intelligence effectively. PowerAI supports various data types and allows users to build and deploy machine learning models easily. With features that include automated hyperparameter tuning, model training pipelines, and scalable infrastructure, it caters to the needs of data scientists and AI developers. Additionally, it offers integration with IBM Cloud services, enabling users to improve their AI projects with reliable cloud computing power. Key capabilities: deep learning frameworks model training pipelines GPU improvement automated hyperparameter tuning integration with IBM Cloud Best for: data scientists and AI developers that need to build and deploy machine learning models.

IBM PowerAI Details

Vendor
IBM
Year Launched
1911
Location
IBM Corporation 1 New Orchard Road Armonk, NY 10504-1722 United States
Deployment
Training Options
demo, account manager, community
Countries Served
All Countries
Languages
English, Spanish, French, German, Italian, Portuguese, Dutch, Japanese, Korean, Chinese
Users
Data Scientists, Machine Learning Engineers, Researchers, Data Analysts, System Administrators
Industries Served
Healthcare, Education, Finance, Retail
Tags
Deep Learning, Machine Learning, Privileged Access Management, IBM

IBM PowerAI's In-App Market Place

Does IBM PowerAI have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

9

Mini Apps

1. TensorFlow: A popular open-source software library for machine learning and deep learning applications.

2. PyTorch: Another open-source machine learning library known for its flexibility and ease of use.

3. DataRobot: A platform that automates the process of building and deploying machine learning models.

4. KubeFlow: An open-source framework for deploying machine learning workflows on Kubernetes.

5. Anaconda: A distribution of Python and R programming languages for scientific computing

which includes many data science libraries and tools.

6. H2O.ai: A suite of machine learning algorithms and tools for data analysis and visualization.

7. IBM PowerAI Vision: An add-on for IBM PowerAI that provides computer vision capabilities

allowing users to build and deploy deep learning models for image recognition and analysis.

Pricing Options

Free trial
Free version
Request a quote
Promo Offer

Accepted Payment Currencies

Usd ($), Eur (€), Gbp (£), Jpy (¥), Aud (A$), Cad (C$), Chf (CHF), Cny (CN¥), Sek (SEK), Nzd (NZ$), Krw (₩), Rub (RUB)

Pros & Cons

  • Advanced deep learning capabilities for creating complex models
  • Tailored for AI and machine learning workloads
  • Offers high performance computing power for faster processing
  • Easy integration with existing IBM tools and platforms
  • Enhanced security features for privileged access management
  • Steep learning curve for beginners
  • Limited support for non-IBM hardware
  • Expensive licensing fees
  • Lack of comprehensive documentation
  • Limited community support compared to other platforms

IBM PowerAI's Support Options

IBM PowerAI's Alternatives